Published on in Vol 2, No 2 (2018): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11977, first published .
Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study

Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study

Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study

Journals

  1. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023 View
  2. Jongen P, ter Veen G, Lemmens W, Donders R, van Noort E, Zeinstra E. The Interactive Web-Based Program MSmonitor for Self-Management and Multidisciplinary Care in Persons With Multiple Sclerosis: Quasi-Experimental Study of Short-Term Effects on Patient Empowerment. Journal of Medical Internet Research 2020;22(3):e14297 View
  3. Salgado T, Tavares J, Oliveira T. Drivers of Mobile Health Acceptance and Use From the Patient Perspective: Survey Study and Quantitative Model Development. JMIR mHealth and uHealth 2020;8(7):e17588 View
  4. Alexander S, Peryer G, Gray E, Barkhof F, Chataway J. Wearable technologies to measure clinical outcomes in multiple sclerosis: A scoping review. Multiple Sclerosis Journal 2020:135245852094600 View
  5. Thomas S, Pulman A, Thomas P, Collard S, Jiang N, Dogan H, Davies Smith A, Hourihan S, Roberts F, Kersten P, Pretty K, Miller J, Stanley K, Gay M. Digitizing a Face-to-Face Group Fatigue Management Program: Exploring the Views of People With Multiple Sclerosis and Health Care Professionals Via Consultation Groups and Interviews. JMIR Formative Research 2019;3(2):e10951 View
  6. Nasseri N, Ghezelbash E, Zhai Y, Patra S, Riemann-Lorenz K, Heesen C, Rahn A, Stellmann J. Feasibility of a smartphone app to enhance physical activity in progressive MS: a pilot randomized controlled pilot trial over three months. PeerJ 2020;8:e9303 View
  7. Apolinário-Hagen J, Hennemann S, Fritsche L, Drüge M, Breil B. Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study. JMIR Mental Health 2019;6(11):e15373 View
  8. Brew-Sam N, Chib A, Rossmann C. Differential influences of social support on app use for diabetes self-management – a mixed methods approach. BMC Medical Informatics and Decision Making 2020;20(1) View
  9. Robinson A, Slight R, Husband A, Slight S. Designing the Optimal Digital Health Intervention for Patients’ Use Before and After Elective Orthopedic Surgery: Qualitative Study. Journal of Medical Internet Research 2021;23(3):e25885 View
  10. Xie Z, Kalun Or C. Acceptance of mHealth by Elderly Adults: A Path Analysis. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2020;64(1):755 View
  11. Gromisch E, Turner A, Haselkorn J, Lo A, Agresta T. Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review. JAMIA Open 2020 View
  12. De Angelis M, Lavorgna L, Carotenuto A, Petruzzo M, Lanzillo R, Brescia Morra V, Moccia M. Digital Technology in Clinical Trials for Multiple Sclerosis: Systematic Review. Journal of Clinical Medicine 2021;10(11):2328 View
  13. Damerau M, Teufel M, Musche V, Dinse H, Schweda A, Beckord J, Steinbach J, Schmidt K, Skoda E, Bäuerle A. Determining Acceptance of e-Mental Health Interventions in Digital Psychodiabetology Using a Quantitative Web-Based Survey: Cross-sectional Study. JMIR Formative Research 2021;5(7):e27436 View
  14. Mokhberdezfuli M, Ayatollahi H, Naser Moghadasi A, Taiar R. A Smartphone-based Application for Self-Management in Multiple Sclerosis. Journal of Healthcare Engineering 2021;2021:1 View
  15. REMY C, VALET M, STOQUART G, EL SANKARI S, VAN PESCH V, DE HAAN A, LEJEUNE T. Telecommunication and rehabilitation for patients with multiple sclerosis: access and willingness to use. A cross-sectional study. European Journal of Physical and Rehabilitation Medicine 2020;56(4) View
  16. Wattanapisit A, Amaek W, Wattanapisit S, Tuangratananon T, Wongsiri S, Pengkaew P. Challenges of Implementing an mHealth Application for Personalized Physical Activity Counselling in Primary Health Care: A Qualitative Study. International Journal of General Medicine 2021;Volume 14:3821 View
  17. Sora B, Nieto R, Montesano del Campo A, Armayones M. Acceptance and use of telepsychology from clients’ perspective: perceived advantages and barriers (Preprint). JMIR Mental Health 2020 View
  18. KC B, Alrasheedy A, Goh B, Blebil A, Bangash N, Mohamed Ibrahim M, Rehman I. The Types and Pattern of Use of Mobile Health Applications Among the General Population: A Cross-Sectional Study from Selangor, Malaysia. Patient Preference and Adherence 2021;Volume 15:1755 View